Huib Meulenbelt

Hi Maliheh,Thank you for your solution. I am getting now the output that I expect import itertools from gurobipy import Model, GRB truth_table = dict.fromkeys(itertools.product([1, 0], repeat=2),...

Hi,There are two scenarios for `p`If p = 1` then r_p_min ≤ r ≤ r_p_max  I created this constraint by writing:m.addGenConstrIndicator(p, True, r_p_min <= r) m.addGenConstrIndicator(p, True, r <= r_p...

Hi Ronald, thank you for your insights. I am mainly interested in finding the value of `SUL_i` and `SUL_j`. You stated that its possible to retrieve these values without the paths. Is the following...

Hi,   Thank you for your reply. I understand that the "nx.from_numpy_array"-function doesn't accept Gurobi decision variables as input. However, is it possible to convert the values of the decision...

Hi Riley, In the end that's exactly what I want to do; get all the different ways a score can be achieved. To be precise, I want all the ways A (B) can score a (b) points on his own serve. Below is...

Ah yes, thank you for taking a look at it. So, I was making it way too difficult.  You're right, I excluded that from my question to simplify the project. But a player wins when he reaches n points...

Thank you Jaromil and David!

Both constraints are expressed in the form of p_bust_var so I can write  m.addConstr(p_bust_var_div == 1 / (1 - gurobi.quicksum(p_vars))) Then I don't have a quadratic model anymore correct. Howeve...

Gotcha. I included that constraint based on your article. Later in the script I need to divided a term by p_bust_var. Is there any other way to satisfy the vars limitations and divide by p_bust_var?

Hi Jaromił, Thanks for responding! I noticed the limits in the documentation, yes. But I am not sure why my model violates them? There are no quadratic terms in my model I believe. Can you check wh...